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A program to predict a home's sell price using data scraped from the internet

Project description

homeBuyerFire

Build Status Actions Status codecov FOSSA Status Code style: black

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Project Overview

A program to predict a home's sell price using data scraped from the internet.

homeBuyerFire is actively developed using a Python 3.7 interpreter.

Installation

pip install hbf

Example

Starting from the project's parent directory:

python example.py
Scraping Zillow |████████████████████████████████| 7/7

                                       Address  Sell Price  Beds  Baths  Home Size      Home Type  Year Built                         Heating  Cooling Parking  Lot Size
0  11705 College View Dr Silver Spring MD 20902    293000.0   2.0    2.0     1526.0  Single Family      1951.0                      Forced air  Central     NaN    6791.0
1  11714 College View Dr Silver Spring MD 20902    465000.0   4.0    3.0     2843.0  Single Family      1962.0  Baseboard, Heat pump, Electric  Central     NaN    8115.0
2         3406 Glorus Pl Silver Spring MD 20902    785000.0   5.0    5.0     5872.0  Single Family      2006.0                      Forced air  Central     NaN   10890.0
3  11703 College View Dr Silver Spring MD 20902    475000.0   4.0    2.0     1982.0  Single Family      1951.0                 Forced air, Gas  Central     NaN    6930.0
4         3400 Glorus Pl Silver Spring MD 20902    395000.0   4.0    3.0     1914.0  Single Family      1953.0                None, Forced air  Central     NaN    7178.0
5    11714 Veirs Mill Rd Silver Spring MD 20902    383000.0   6.0    3.0     1836.0  Single Family      1953.0                      Forced air  Central     NaN    6812.0
6      3402 Pendleton Dr Silver Spring MD 20902    340000.0   2.0    1.0      882.0  Single Family      1951.0                      Forced air  Central     NaN    7609.0

--- 15.11016297340393 seconds ---

Contact Info

  • @MattThomas9
  • @AmritPatel

License

FOSSA Status

Project details


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